Image Processing & CV Internship

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Image Processing & CV
Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
₹ 10,000 /month
APPLY BY
26 Apr' 21
Posted 3 weeks ago
Internship

About the internship

Selected intern's day-to-day responsibilities include:

1. Design and develop robust, efficient, and real-time algorithms for analysis, classification, object detection/segmentation, etc., of x-ray images using state-of-art techniques from image processing, pattern recognition, computer vision, and machine learning, deep learning
2. Develop innovative solutions for various problems related to segmentation, object detection, feature analysis, and classification of high resolution (4Kx4K) colored images for applications in security
3. Research & implement high-end efficient models in machine learning (e.g. deep learning) for accurate analysis, and classification of large images
4. Strong in Image and computer vision-related libraries such as OpenCV, PIL, Dlib, Matplotlib, Tensorflow, Pytorch, OpenVino, SciPy, NumPy, etc.
5. Explore new areas of expert systems, cognitive computing, artificial intelligence, computational photography, etc.

Skill(s) required

C++ Programming Computer Vision Deep Learning Image Processing Machine Learning OpenCV Python

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 12th Apr'21 and 17th May'21

3. are available for duration of 6 months

4. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Perks

Certificate

Number of openings

2

About Dimensionless Technologies

BaggageAI, a product of Dimensionless Technologies, is a patent-pending artificial intelligence-based solution that ensures accuracy and efficiency in threat detection at security checkpoints. With robust and fast algorithms at its core, BaggageAI can detect prohibited items in real-time from X-ray baggage scanners with accurate, reliable, and powerful detection.
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Hiring since November 2016
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